It would be very interesting to know the size of edits done on mobile vs desktop (it would be even better if we could distinguish between phones and tablets because of the different form factors. I appreciate that we have the problem of definition as a person on a phone can use the desktop interface and vice versa, so there's a matrix of device and interface potentially.when I say "size of edit", I would really prefer to know the size of the delta, not the difference in the size of the article as reported in the history. My personal hypothesis is that the smaller the form factor the smaller the edits. As much as I love my ipad, it is no substitute for my laptop for serious editing, most edits are harder and slower on the ipad than my laptop, and it's a pain to,do citations on a mobile device. If my hypothesis is correct, I am not personally convinced that the loss of a desktop edit is compensated by the gain of a mobile edit, even it results in the same total number of edits, I think the extent to which an article is improved will be lower on mobile (on average). Not sure how we measure that but KPIs like size of delta and addition of citations would be something that might be interesting. Or, with enough data, we could use the automatic assessment tool to look for articles that change assessment (as measured by the tool) and look at the mobile vs desktop edit counts and ratios etc.
Sent from my iPadHoi,The point of research is that it provides us with understanding that indicates one way or the other the problems we face and, how we are trending towards success or failure.Thanks to numbers we know the extend of the growth of our mobile readers and editors. The trend is uncontroversial; it grows and it offsets the readers and editors that are declining from computers. Simple research shows that talk pages are unworkable on mobiles and tablets.Dear Pine, do you agree that such research exists, do you agree that I fairly summarize the data that is available ?When you want more engagement by our public, ask yourself how can we use our numbers and analyse what might point to things where we could / should mobilise our community. Numbers that show clearly why it makes sense for us to ask volunteers to volunteer. I give you one set of numbers we do not have... The number of negative results from the searches in our Wikipedias individually.Thanks,GerardMOn 11 September 2014 08:00, Pine W <wiki.pine@gmail.com> wrote:Hello research colleagues,
When I look at the WMF Report Card, it appears to me that the global active editor stats and the number of new accounts being registered per month has been relatively flat since at least 2011.
Those of you who work in EE research and analytics, I would like to ask if there is a summary of techniques that you have found that do produce statistically significant results in improving editor retention. I know that some of you write tools, design projects, or pull and analyze data about editors. It looks to me like WMF is investing significant effort in research and tool creation, but we're not moving the needle to create the results that we had hoped to achieve. So I'd like to ask what have we learned from all of our time working on editor engagement about techniques and programs that do improve the EE stats significant ways, so that we can hopefully accelerate the implementation of programs and techniques that have demonstrated success.I'd also like to ask what barriers you think prevent us from becoming more effective at improving the number of users who register and the number of active editors. For example, are users who go through GettingStarted often being deterred by quickly being confronted by experienced editors in ways that make the newbies want to leave? If that is a significant problem, how do you suggest addressing this?
One of my concerns about investing further in developing Flow, analytics tools like like WIkimetrics, and further complex editor engagement research projects, is that the most important challenges related to editor engagement may be problems that can only be solved through primarily interpersonal and social means rather than the use of software tools and mass communications. I like Wikimetrics and I use it, and I think there's an important place for analytics and tool development in EE work, but I wonder if WMF should scale up the emphasis on grassroots social and interpersonal efforts, particularly in the context of the 2015+ Strategic Plan and Jimmy's speech at the 2014 Wikimania. What do you think,and if your answer is yes, how do you think WMF can do this while respecting the autonomy and social processes of the volunteer projects?
Thanks,
Pine
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